Radwa Elshawi

On the interpretability of machine learning-based model for predicting hypertension

Radwa Elshawi, Mouaz H. Al‐Mallah, Sherif Sakr · BMC Medical Informatics and Decision Making · 2019 · 275 citations · Full text

Computing, Cardiology, Health Informatics +17

Interpretability in healthcare: A comparative study of local machine learning interpretability techniques

Radwa Elshawi, Youssef Sherif, Mouaz H. Al‐Mallah et al. · Computational Intelligence · 2020 · 185 citations

Computing, Health Informatics, Clinical Decision Support +14

Predictors of in-hospital length of stay among cardiac patients: A machine learning approach

Tahani A. Daghistani, Radwa Elshawi, Sherif Sakr et al. · International Journal of Cardiology · 2019 · 184 citations

Computing, Cardiology, Health Informatics +16

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project

Sherif Sakr, Radwa Elshawi, Amjad Ahmed et al. · PLoS ONE · 2018 · 115 citations · Full text

Computing, Cardiology, Computer Science +17

Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project

Sherif Sakr, Radwa Elshawi, Amjad Ahmed et al. · BMC Medical Informatics and Decision Making · 2017 · 95 citations · Full text

Education, Cardiology, Exercise Testing +16